Source code for pyspedas.projects.twins.lad

from .load import load

# This routine was moved out of __init__.py.  Please see that file for previous revision history.


[docs] def lad(trange=['2018-11-5', '2018-11-6'], probe='1', datatype='', prefix='', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, force_download=False, notplot=False, no_update=False, time_clip=False): """ This function loads data from the LAD instrument Parameters ---------- trange : list of str time range of interest [starttime, endtime] with the format ['YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] Default: ['2018-11-5', '2018-11-6'] datatype: str Data type; Valid options: '' Default: '' prefix: str The tplot variable names will be given this prefix. Default: '' suffix: str The tplot variable names will be given this suffix. Default: '' get_support_data: bool If True, data with an attribute "VAR_TYPE" with a value of "support_data" will be loaded into tplot. Default: False varformat: str The file variable formats to load into tplot. Wildcard character "*" is accepted. Default: '' (all variables loaded) varnames: list of str List of variable names to load Default: [] (all variables loaded) downloadonly: bool Set this flag to download the CDF files, but not load them into tplot variables Default: False force_download: bool Set this flag to download the CDF files, even if the local copy is newer Default: False notplot: bool Return the data in hash tables instead of creating tplot variables Default: False no_update: bool If set, only load data from your local cache Default: False time_clip: bool Time clip the variables to exactly the range specified in the trange keyword Default: False Returns -------- list of str List of tplot variables created. Examples -------- >>> import pyspedas >>> from pyspedas import tplot >>> lad_vars = pyspedas.projects.twins.lad(trange=['2018-11-5/6:00', '2018-11-5/6:20'], time_clip=True) >>> tplot(['lad1_data', 'lad2_data']) """ return load(instrument='lad', trange=trange, probe=probe, datatype=datatype, prefix=prefix, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, force_download=force_download, notplot=notplot, time_clip=time_clip, no_update=no_update)